The trend in software development has been changed a lot nowadays. People are expecting predictable features from some unpredictable data. We can now develop software products from raw data, refine raw data to produce business insights and analytic. We are using visualizations, statistics, and machine learning to develop and plan the needful. This is termed as Data Science. Data modelling is the first part of any software product development. So, “Waterfall” is the approach.
During this period, “Agile” approaches has been emerged. Software Development projects are now getting delivered on a stipulated period and budget. Data science is still trapped on waterfall method.
Problem area lies here. Galore of opportunities arrives at the juncture of these two trends of
development. Agile big data is a development methodology which can be utilized to address the same. Session will be focused to explore new approaches and team structures to follow this methodology.